An Analogical Approach to Learning Constraints on Non-canonical Constructions
نویسندگان
چکیده
Non-canonical constructions differ from canonical structures in that they carry extra pragmatic meaning relating their arguments to the current discourse. One important question is how language users learn the pragmatic relationships that govern these variations. This paper proposes that these relationships can be learned through analogical generalization over first explicit and then inferentially related examples. We focus on the preposing construction and simulate this learning process for a proof of concept example using the SAGE model of analogical generalization.
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